IRI Threshold Values Based on Riding Comfort

Zhang, Jinxi; Wang, Lin; Jing, Peng; Wu, Yang; Li, Huaming

doi:10.1061/jpeodx.0000144

Cited by 19 publications

(15 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The decrease in IRI thresholds with speed was similar in comparison with published data based on measurements(12,14,55).4. IRI thresholds for a V = 0.9 m/s 2 and 1st class roads are approximately in accordance with the published results of Yu et al (20) for v .…”

supporting

confidence: 89%

“…IRI thresholds based on measured passenger vibration were compared with published data in Table 6. IRI thresholds based on field measurements were proposed by Wang et al ( 56 ), Wang and Easa ( 12 ), and Zhang et al ( 14 ). They used only one test car and two or three vehicle speeds from 30 to 70 km/h.…”

Section: Iri Thresholds Based On Wbv Measurementmentioning

confidence: 99%

“…Field measurements are still rare and have only been available in recent years ( 4–14 ). An overview of published relationships between WBV and IRI was provided in Múčka ( 15 ).…”

mentioning

confidence: 99%

“…The total length of the processed sections ranged from several hundred meters to 58 km ( 4 ). Wheel path(s) used for IRI calculation were mostly not introduced in ( 4–14 ). The elapsed time between road roughness and vibration measurements was not reported.…”

mentioning

confidence: 99%

See 3 more Smart Citations

International Roughness Index Thresholds Based on Whole-Body Vibration in Passenger Cars

Múčka

2020

Transportation Research Record

View full text Add to dashboard Cite

This study analyzed whole-body vibration (WBV) on a car seat (seat surface and feet) in passenger cars as a function of longitudinal road roughness. Measurements were provided on nine different cars in six categories and included a total travel distance of 1,860 km. The root mean square (RMS) of the frequency-weighted acceleration was used to quantify WBV. The relationship between seat acceleration response and comfort reactions according to the ISO 2631-1 and the International Roughness Index (IRI) was estimated. IRI thresholds were proposed as a function of vehicle speed and road category. Proposed IRI thresholds decreased with vehicle velocity and were similar with published IRI threshold proposals based on simulation. IRI thresholds as a function of speed limit should decrease with power by approximately –0.75. Substantially lower (by ~ 40%) IRI thresholds were calculated for the total vibration value (six signals) in comparison with vertical vibration on the seat surface.

show abstract

supporting

confidence: 89%

Section: Iri Thresholds Based On Wbv Measurementmentioning

confidence: 99%

“…Field measurements are still rare and have only been available in recent years ( 4–14 ). An overview of published relationships between WBV and IRI was provided in Múčka ( 15 ).…”

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

International Roughness Index Thresholds Based on Whole-Body Vibration in Passenger Cars

Múčka

2020

Transportation Research Record

View full text Add to dashboard Cite

show abstract

“…Fuentes et al [47] analyzed the subjective perception of the user about the level of comfort of a road pavement and the vertical accelerations through the analysis of deterministic and probabilistic models for the estimation of the pavement maintenance, specific for urban roads at low operating speed. Zhang et al [48] introduced new IRI threshold values on the basis of riding comfort; three different evaluation techniques were used: a questionnaire, a vibration acceleration method, and a psychological and physiological index root mean square of the successive differences (RMSSD) method.…”

Section: Introductionmentioning

confidence: 99%

Assessing of the Road Pavement Roughness by Means of LiDAR Technology

et al. 2020

View full text Add to dashboard Cite

The assessment of the road roughness conditions plays an important role to ensure the required performances related to road safety and ride comfort, furthermore providing a tool for pavement maintenance and rehabilitation planning. In this work, the authors compared the roughness index (International Roughness Index, IRI) derived from high speed inertial profilometer with two other roughness indices, one dynamic and one geometric computed on a digital elevation model (DEM) built by using mobile laser scanner (MLS) data. The MLS data were acquired on an extra-urban road section and interpolated on the nodes of a DEM with a curvilinear abscissa, coinciding with the global navigation satellite system (GNSS) track of the profilometer. To estimate the grid cell elevation, we applied two interpolation methods, ordinary kriging (OK) and inverse distance weighting (IDW), over the same data. The roughness values computed on the surface of the DEM showed a similar trend and a high correlation with those acquired by the profilometer, higher for the dynamic index than for the geometric index. The differences between the IRI values by profilometer and those computed on the DEM were small enough not to significantly affect the judgments on the analyzed sections. Moreover, the road sub-sections derived from profilometer measure that were classified as critical coincided with those derived from light detection and ranging (LiDAR) surveys. The proposed method can be used to perform a network-level analysis. In addition, to evaluate the effects of vibrations on human comfort, we input the DEMs into a dynamic simulation software in order to compute the vertical accelerations, as specified in the UNI ISO 2631 standard. The values obtained were in line and correlated with those inferred from the standard methodology for profilometer measures.

show abstract